{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T14:38:45Z","timestamp":1768315125506,"version":"3.49.0"},"reference-count":37,"publisher":"Georg Thieme Verlag KG","issue":"09","license":[{"start":{"date-parts":[[2020,9,2]],"date-time":"2020-09-02T00:00:00Z","timestamp":1599004800000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geburtshilfe Frauenheilkd"],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Introduction Optimal cytoreduction is the most important prognostic factor in advanced ovarian cancer. Although staging and assessment of operability are made by exploratory surgery, preoperative computed tomography (CT) of the abdomen is regarded as standard. The aim of this study was to examine various CT parameters with regard to prediction of optimal cytoreduction.<\/jats:p><jats:p>\n          Patients and Methods The retrospective study included 131\u00a0patients with ovarian cancer newly diagnosed between 2010 and 2014. Of these, n\u2009=\u200936 with FIGO stage I to IIB were excluded from the study. A preoperative abdominal CT was available for n\u2009=\u200975 of the 95 patients with FIGO stage IIC to IV. The CT scans underwent blinded review. The 11 evaluated CT parameters were examined by means of \u03c72 test and logistic regression analysis with regard to the endpoints of macroscopic residual tumour and residual tumour &gt;\u20091\u2009cm. Survival analyses used the Kaplan-Meier method and log rank test.<\/jats:p><jats:p>\n          Results Of 75 patients, 28 (37.3%) had complete tumour resection and 26 (34.7%) had residual tumour \u2264\u20091\u2009cm. Residual tumours &gt;\u20091\u2009cm were found in 21 (28%) patients, five of which were not resectable. Overall survival with residual tumour &gt;\u20091\u2009cm differed significantly from the group with no macroscopic residual tumour (p\u2009=\u20090.003) and with residual tumour \u2264\u20091\u2009cm (p\u2009=\u20090.04). The CT parameters tumour foci in the diaphragm, mesocolon, greater omentum and peritoneum as well as ascites correlated with macroscopic residual tumour. In the multivariate logistic regression analysis only the CT parameter intraparenchymal liver metastasis was statistically significant with regard to prediction of suboptimal tumour resection (&gt;\u20091\u2009cm) (OR 8.04; 95% CI 1.57\u200a\u2013\u200a42.4; p\u2009=\u20090.0134). The sensitivity, specificity, PPV and NPV were 37.5, 89.7, 66.7 and 72.2%.<\/jats:p><jats:p>\n          Conclusion Although risk parameters for suboptimal tumour reduction can be identified by CT of the abdomen, surgical exploration with histological confirmation of the diagnosis is essential because of the poor diagnostic accuracy.<\/jats:p>","DOI":"10.1055\/a-1226-6505","type":"journal-article","created":{"date-parts":[[2020,9,2]],"date-time":"2020-09-02T22:35:16Z","timestamp":1599086116000},"page":"915-923","source":"Crossref","is-referenced-by-count":3,"title":["The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer"],"prefix":"10.1055","volume":"80","author":[{"given":"Angrit","family":"Stachs","sequence":"additional","affiliation":[{"name":"Gyn\u00e4kologische Radiologie, University of Rostock, Rostock, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karen","family":"Engel","sequence":"additional","affiliation":[{"name":"University of Rostock, Rostock, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johannes","family":"Stubert","sequence":"additional","affiliation":[{"name":"Universit\u00e4tsfrauenklinik, University of Rostock, Rostock, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toralf","family":"Reimer","sequence":"additional","affiliation":[{"name":"Universit\u00e4tsfrauenklinik, University of Rostock, Rostock, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernd","family":"Gerber","sequence":"additional","affiliation":[{"name":"Universit\u00e4tsfrauenklinik, University of Rostock, Rostock, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"Dieterich","sequence":"additional","affiliation":[{"name":"Universit\u00e4tsfrauenklinik, University of 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